PARALLEL RECONSTRUCTION SOFTWARE FOR IN VIVO FLUORESCENCE TOMOGRAPHY

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 (1)集成现有的用C(蒙特卡罗模拟)和MatLab(数据处理与图像重建)编程语言实现的软件。 (2)修改集成软件，使其能够利用PSC的并行计算设施(超级计算机)，以显著提高(约1000)自由空间活体荧光断层成像图像重建的计算性能。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. (1) Integrate existing software implemented in C (Monte Carlo simulation) and MATLAB (data processing and image reconstruction) programming languages. (2) Modify the integated software so that it can utilize parallel computing facilities (supercomputers) at PSC, in order to significantly (on the order of 1000) improve computing performance of image reconstruction in free-space in vivo fluorescence tomography.